DOWNLOAD THE COMPLETE PROJECT

11 Users found this project useful

Effect of Data Governance Standards on Insurance Valuation Accuracy

Abstract

Data governance standards provide frameworks for managing the quality, consistency, security, ownership, and use of data within insurance organisations. Accurate and reliable data are essential for insurance valuation because actuarial calculations depend on policy, claims, premium, expense, mortality, and other financial information. Weak data governance may result in incomplete, inconsistent, outdated, or inaccurate information, which can affect the reliability of insurance valuation results. This study will examine the effect of data governance standards on insurance valuation accuracy. It will assess how the implementation of data governance standards influences the accuracy and reliability of actuarial and financial valuation results. The study will also examine the effect of data quality controls, data ownership, validation procedures, documentation standards, and data management practices on insurance valuation outcomes. The study will focus on data governance standards, insurance valuation accuracy, data quality, actuarial valuation, data validation, data consistency, data ownership, data management, policy records, claims data, and insurance liabilities. Actuarial and statistical techniques will be used to assess the relationship between data governance practices and the accuracy of insurance valuation estimates. Attention will also be given to errors and inconsistencies that may arise from inadequate data governance procedures. A quantitative research approach will be adopted for the study. Insurance valuation data, policy records, claims information, premium data, expense records, and relevant data governance information will be analysed using descriptive statistics, data quality assessment, error analysis, correlation analysis, regression analysis, comparative analysis, and sensitivity analysis. Valuation results generated under different levels of data governance compliance may be compared to determine their effects on actuarial liability and premium estimates. The study is expected to reveal that data governance standards may have a significant effect on insurance valuation accuracy. Stronger governance practices may improve data completeness, consistency, validation, and reliability, thereby supporting more accurate valuation results. Conversely, weaknesses in data governance may increase data errors and inconsistencies, potentially leading to differences in estimated insurance liabilities, premiums, reserves, and other actuarial values. The magnitude of the effect may depend on the quality of source data, governance procedures, valuation complexity, and the effectiveness of data controls. The study will be useful to actuaries, insurance companies, accountants, data managers, financial analysts, regulators, auditors, and researchers. It may provide useful information for strengthening data governance frameworks, improving actuarial data quality, reducing valuation errors, and enhancing the reliability of insurance financial reporting. The findings may also assist insurance organisations in establishing effective standards for managing data throughout the valuation process. The study concludes that data governance standards are important considerations in achieving accurate insurance valuation because effective management of actuarial and financial data can improve the reliability of valuation inputs and outputs. It is therefore recommended that insurers establish clear data governance standards, implement regular data validation procedures, assign appropriate data ownership responsibilities, and continuously monitor data quality throughout the actuarial valuation process.

Keywords: Data governance standards, insurance valuation accuracy, data quality, actuarial valuation, data validation, insurance data management, data consistency, data ownership, policy records, claims data, insurance liabilities, actuarial data, valuation errors, data governance, insurance financial reporting.